aws-api-bqtgftz736ft.deno.dev/v0.5/services/machinelearning.ts?docs=full

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Usage

import * as mod from "https://aws-api-bqtgftz736ft.deno.dev/v0.5/services/machinelearning.ts?docs=full";

§Classes

MachineLearning

§Interfaces

AddTagsInput
AddTagsOutput	Amazon ML returns the following elements.
BatchPrediction	Represents the output of a `GetBatchPrediction` operation.
CreateBatchPredictionInput
CreateBatchPredictionOutput	Represents the output of a `CreateBatchPrediction` operation, and is an acknowledgement that Amazon ML received the request.
CreateDataSourceFromRDSInput
CreateDataSourceFromRDSOutput	Represents the output of a `CreateDataSourceFromRDS` operation, and is an acknowledgement that Amazon ML received the request.
CreateDataSourceFromRedshiftInput
CreateDataSourceFromRedshiftOutput	Represents the output of a `CreateDataSourceFromRedshift` operation, and is an acknowledgement that Amazon ML received the request.
CreateDataSourceFromS3Input
CreateDataSourceFromS3Output	Represents the output of a `CreateDataSourceFromS3` operation, and is an acknowledgement that Amazon ML received the request.
CreateEvaluationInput
CreateEvaluationOutput	Represents the output of a `CreateEvaluation` operation, and is an acknowledgement that Amazon ML received the request.
CreateMLModelInput
CreateMLModelOutput	Represents the output of a `CreateMLModel` operation, and is an acknowledgement that Amazon ML received the request.
CreateRealtimeEndpointInput
CreateRealtimeEndpointOutput	Represents the output of an `CreateRealtimeEndpoint` operation.
DataSource	Represents the output of the `GetDataSource` operation.
DeleteBatchPredictionInput
DeleteBatchPredictionOutput	Represents the output of a `DeleteBatchPrediction` operation.
DeleteDataSourceInput
DeleteDataSourceOutput	Represents the output of a `DeleteDataSource` operation.
DeleteEvaluationInput
DeleteEvaluationOutput	Represents the output of a `DeleteEvaluation` operation. The output indicates that Amazon Machine Learning (Amazon ML) received the request.
DeleteMLModelInput
DeleteMLModelOutput	Represents the output of a `DeleteMLModel` operation.
DeleteRealtimeEndpointInput
DeleteRealtimeEndpointOutput	Represents the output of an `DeleteRealtimeEndpoint` operation.
DeleteTagsInput
DeleteTagsOutput	Amazon ML returns the following elements.
DescribeBatchPredictionsInput
DescribeBatchPredictionsOutput	Represents the output of a `DescribeBatchPredictions` operation. The content is essentially a list of `BatchPrediction`s.
DescribeDataSourcesInput
DescribeDataSourcesOutput	Represents the query results from a "DescribeDataSources" operation. The content is essentially a list of `DataSource`.
DescribeEvaluationsInput
DescribeEvaluationsOutput	Represents the query results from a `DescribeEvaluations` operation. The content is essentially a list of `Evaluation`.
DescribeMLModelsInput
DescribeMLModelsOutput	Represents the output of a `DescribeMLModels` operation. The content is essentially a list of `MLModel`.
DescribeTagsInput
DescribeTagsOutput	Amazon ML returns the following elements.
Evaluation	Represents the output of `GetEvaluation` operation.
GetBatchPredictionInput
GetBatchPredictionOutput	Represents the output of a `GetBatchPrediction` operation and describes a `BatchPrediction`.
GetDataSourceInput
GetDataSourceOutput	Represents the output of a `GetDataSource` operation and describes a `DataSource`.
GetEvaluationInput
GetEvaluationOutput	Represents the output of a `GetEvaluation` operation and describes an `Evaluation`.
GetMLModelInput
GetMLModelOutput	Represents the output of a `GetMLModel` operation, and provides detailed information about a `MLModel`.
MLModel	Represents the output of a `GetMLModel` operation.
PerformanceMetrics	Measurements of how well the `MLModel` performed on known observations. One of the following metrics is returned, based on the type of the `MLModel`:
PredictInput
Prediction	The output from a `Predict` operation:
PredictOutput
RDSDatabase	The database details of an Amazon RDS database.
RDSDatabaseCredentials	The database credentials to connect to a database on an RDS DB instance.
RDSDataSpec	The data specification of an Amazon Relational Database Service (Amazon RDS) `DataSource`.
RDSMetadata	The datasource details that are specific to Amazon RDS.
RealtimeEndpointInfo	Describes the real-time endpoint information for an `MLModel`.
RedshiftDatabase	Describes the database details required to connect to an Amazon Redshift database.
RedshiftDatabaseCredentials	Describes the database credentials for connecting to a database on an Amazon Redshift cluster.
RedshiftDataSpec	Describes the data specification of an Amazon Redshift `DataSource`.
RedshiftMetadata	Describes the `DataSource` details specific to Amazon Redshift.
S3DataSpec	Describes the data specification of a `DataSource`.
Tag	A custom key-value pair associated with an ML object, such as an ML model.
UpdateBatchPredictionInput
UpdateBatchPredictionOutput	Represents the output of an `UpdateBatchPrediction` operation.
UpdateDataSourceInput
UpdateDataSourceOutput	Represents the output of an `UpdateDataSource` operation.
UpdateEvaluationInput
UpdateEvaluationOutput	Represents the output of an `UpdateEvaluation` operation.
UpdateMLModelInput
UpdateMLModelOutput	Represents the output of an `UpdateMLModel` operation.

§Type Aliases

Algorithm	The function used to train an `MLModel`. Training choices supported by Amazon ML include the following:
BatchPredictionFilterVariable	A list of the variables to use in searching or filtering `BatchPrediction`.
DataSourceFilterVariable	A list of the variables to use in searching or filtering `DataSource`.
DetailsAttributes	Contains the key values of `DetailsMap`:
EntityStatus	Object status with the following possible values:
EvaluationFilterVariable	A list of the variables to use in searching or filtering `Evaluation`.
MLModelFilterVariable
MLModelType
RealtimeEndpointStatus
SortOrder	The sort order specified in a listing condition. Possible values include the following:
TaggableResourceType